Snowflake

JULY 10, 2023

Announced at Summit, we’ve recently added to Snowpark the ability to process files programmatically, with Python in public preview and Java generally available. Data engineers and data scientists can take advantage of Snowflake’s fast engine with secure access to open source libraries for processing images, video, audio, and more.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Cloudyard

MAY 7, 2024

Read Time: 1 Minute, 39 Second Many organizations leverage Snowflake stages for temporary data storage. However, with ongoing data ingestion and processing, it’s easy to lose track of stages containing old, potentially unnecessary data. This can lead to wasted storage costs.

Data Ingestion 52

Data Ingestion Data Storage Utilities Coding 52

Ascend.io

NOVEMBER 14, 2024

Why Future-Proofing Your Data Pipelines Matters Data has become the backbone of decision-making in businesses across the globe. The ability to harness and analyze data effectively can make or break a company’s competitive edge. Set Up Auto-Scaling: Configure auto-scaling for your data processing and storage resources.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52

Knowledge Hut

MARCH 27, 2024

An ordered set of data kept in a computer system and typically managed by a database management system (DBMS) is called a database. Table modeling of the data in standard databases facilitates efficient searching and processing. SQL, or structured query language, is widely used for writing and querying data.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Monte Carlo

MAY 28, 2024

This involves connecting to multiple data sources, using extract, transform, load ( ETL ) processes to standardize the data, and using orchestration tools to manage the flow of data so that it’s continuously and reliably imported – and readily available for analysis and decision-making.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Knowledge Hut

JANUARY 18, 2024

Using advanced analytical tools, a data scientist interprets data and presents it in meaningful information. For more information, check out the best Data Science certification. A data scientist’s job description focuses on the following – Automating the collection process and identifying the valuable data.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

ProjectPro

JANUARY 25, 2022

PySpark is a handy tool for data scientists since it makes the process of converting prototype models into production-ready model workflows much more effortless. Yahoo utilizes Apache Spark's Machine Learning capabilities to customize its news, web pages, and advertising. Why use PySpark?

Big Data 52

Big Data Data Process Process Kafka 52

Knowledge Hut

FEBRUARY 29, 2024

Get to know more about data science for business. Learning Data Analysis in Excel Data analysis is a process of inspecting, cleaning, transforming and modelling data with an objective of uncover the useful knowledge, results and supporting decision. In data analysis, EDA performs an important role.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Cloudera

NOVEMBER 1, 2023

This AMP is built on the foundation of one of our previous AMP s, with the additional enhancement of enabling customers to create a knowledge base from data on their own website using Cloudera DataFlow (CDF) and then augment questions to the chatbot from that same knowledge base in Pinecone.

Machine Learning 110

Machine Learning Data Ingestion Database Architecture 110

ThoughtSpot

NOVEMBER 5, 2024

In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance. Optimizing the server initialization process for Atlas is vital for maintaining the high availability and performance of the ThoughtSpot system.

Metadata 52

Metadata PostgreSQL Java Database 52

Snowflake

NOVEMBER 19, 2024

On a day-to-day basis, Snowflake teams identify opportunities and help customers implement recommended best practices that ease the migration process from on-premises to the cloud. They also monitor potential challenges and advise on proven patterns to help ensure a successful data migration.

Cloud 52

Cloud Data Ingestion Data Validation Data Security 52

Knowledge Hut

MARCH 14, 2024

Storage Services: Azure offers a variety of storage solutions such as Blob Storage, Azure Files, and Azure Disk Storage, accommodating different data storage needs with scalability and reliability. Microsoft Azure Architecture Best Practices I have made a list of Microsoft Azure Architecture Best Practices.

Architecture 52

Architecture Cloud Computing Utilities Machine Learning 52

Knowledge Hut

DECEMBER 22, 2023

By enabling users to identify and construct ranges as well as filter, sort, merge, clean, and trim data, MS Excel helps data science. It is possible to generate pivot tables and charts and utilize Visual Basic for Applications (VBA). Cloud Computing Every day, data scientists examine and evaluate vast amounts of data.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

JANUARY 29, 2024

These servers are primarily responsible for data storage, management, and processing. Data Science is known to use data analytics software for this process. Data Analytics refers to transforming, inspecting, cleaning, and modeling data. Data scientists must teach themself about cloud computing.

Cloud Computing 98

Cloud Computing Data Science Cloud Amazon Web Services 98

Cloudera

MARCH 5, 2024

Apache Iceberg The addition of Apache Iceberg support for the Cloudera platform unlocks opportunities for enterprises to apply mission-critical data to AI and address some of the most error-prone processes, enabling them to generate new use cases, improve overall performance, and reduce costs.

Data Lake 86

Data Lake Data Storage Government Kafka 86

Edureka

AUGUST 19, 2024

One of the key elements of Azure Data Factory that permits data integration between various network environments is Integration Runtime. It offers the infrastructure needed to transfer data safely between cloud and on-site data storage. The three primary varieties are Azure, Azure-SSIS, and Self-hosted.

Transportation 40

Transportation Data Integration Data Storage Utilities 40

Knowledge Hut

SEPTEMBER 25, 2023

As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Lake 52

Knowledge Hut

APRIL 23, 2024

The history of big data takes people on an astonishing journey of big data evolution, tracing the timeline of big data. The Emergence of Data Storage and Processing Technologies A data storage facility first appeared in the form of punch cards, developed by Basile Bouchon to facilitate pattern printing on textiles in looms.

Big Data 52

Big Data Amazon Web Services Cloud Computing Media 52

Pinterest Engineering

SEPTEMBER 26, 2023

While it is blessed with an abundance of data for training, it is also crucial to maintain a high data storage efficiency. Therefore, we adopted a hybrid data logging approach, with which the data is logged through both the backend service and the frontend clients. The process is captured in Figure 1.

Software Engineering 103

Software Engineering Software Engineer Machine Learning Datasets 103

Knowledge Hut

DECEMBER 28, 2023

Obtaining the Microsoft Data Engineer certification is a strategic move that can open doors to lucrative career opportunities. In this comprehensive guide, we will demystify the process of achieving the Azure Data Engineer certification. From data storage to processing and to security, the certification covers all.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Knowledge Hut

MARCH 20, 2024

This involves utilizing modern JavaScript frameworks like React, Angular, or Vue.js Builds and manages data processing, storage, and management systems. Determines and corrects complicated problems throughout the software development process. and libraries like jQuery.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Edureka

JULY 16, 2024

Amazon SageMaker is an auto-scaling ML service that enables developers and data scientists to include Third-Party Widget; build, train, and deploy ML models. SageMaker was launched by AWS in November 2017; it seeks to provide ML services to anyone, irrespective of their background in computer science and signal processing.

AWS 52

AWS Algorithm Machine Learning Amazon Web Services 52

Snowflake

JUNE 5, 2024

Enterprises can utilize gen AI to extract more value from their data and build conversational interfaces for customer and employee applications. Additionally, upon implementing robust data security controls and meeting regulatory requirements, businesses can confidently integrate AI while meeting compliance standards.

Coding 89

Coding Building Management Government 89

Data Engineering Weekly

MARCH 24, 2024

As we predicted in the key trends of 2023 about Apache Flink as a clear winner in the stream processing frameworks, we see Confluent offering Flink as a service. The author goes beyond comparing the tools to various offerings from streaming vendors in stream processing and Kafka protocol-supported systems.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Databand.ai

JUNE 8, 2023

By implementing an observability pipeline, which typically consists of multiple technologies and processes, organizations can gain insights into data pipeline performance, including metrics, errors, and resource usage. This ensures the reliability and accuracy of data-driven decision-making processes.

Data Pipeline 52

Data Pipeline Bytes Data Collection Raw Data 52

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional responsible for designing, implementing, and managing data solutions using Microsoft's Azure cloud platform. They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems.

Data Engineer 52

Data Engineer Data Engineering Engineering Pipeline-centric 52

Monte Carlo

FEBRUARY 8, 2024

Sure, a modern data stack can simplify or automate many tasks, but understanding your tools’ capabilities and how they can best be utilized is what really unlocks cost savings and efficiency in your data pipeline. Regularly schedule deduplication processes to keep your data storage lean and efficient.

Data Pipeline 52

Data Pipeline AWS Datasets Data 52

Knowledge Hut

OCTOBER 6, 2023

I'll delve into the specifics in this post to help you determine if AWS Data Analytics certification is worth it. What is AWS Data Analytics? I found Amazon Web Services (AWS) AWS Data Analytics to be a potent set of tools for processing, analyzing, and drawing conclusions from enormous volumes of data.

AWS 52

AWS Certification Data Analytics IT 52

Engineering at Meta

NOVEMBER 19, 2024

This necessitated a complete redesign of the ads recommendations system across data storage, feature input formats, and model architecture. It utilizes state-of-the-art attention mechanisms to synthesize the event embeddings to a predefined number of embeddings that are keyed by the ad to be ranked.

Architecture 66

Architecture Engineering Deep Learning Systems 66

Knowledge Hut

JULY 26, 2023

It uses these devices' processing power and capabilities to give users the ability to carry out various tasks, from communication and entertainment to productivity and beyond. The fundamental ideas behind and methods for storing, processing, and making data accessible in the cloud and mobile computing are different.

Cloud Computing 52

Cloud Computing Cloud Cloud Storage Banking 52

Knowledge Hut

JULY 26, 2023

It is commonly used for indexing and searching data based on unique identifiers or keys. Overall, hashing in DBMS enables quick and efficient data access, enhancing query processing and lookup operations. The hash code serves as an index, allowing the DBMS to quickly locate the desired data record.

Database 52

Database Data Storage Utilities Coding 52

Knowledge Hut

DECEMBER 27, 2023

One of the growing risks of using cloud computing is cloud migration which is handled through stratification of the process. Cloud migration can help organizations improve their data security, increase workforce productivity and simplify their IT infrastructure. Data storage is a critical component of the healthcare industry.

Cloud Computing 52

Cloud Computing Healthcare Cloud Electronics 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Unstructured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

MARCH 15, 2024

RDBMS vs NoSQL: Features Here's a brief overview of the features of both RDBMS and NoSQL, pointwise: RDBMS: Utilizes structured tables to organize data. Enforces ACID (Atomicity, Consistency, Isolation, Durability) properties for data integrity. Allows storage and retrieval without the constraints of a fixed schema.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Cloudera

MARCH 22, 2023

While a business analyst may wonder why the values in their customer satisfaction dashboard have not changed since yesterday, a DBA may want to know why one of today’s queries took so long, and a system administrator needs to find out why data storage is skewed to a few nodes in the cluster. As observability evolves, so will CDP.

Data Governance 87

Data Governance Government Business Analyst Metadata 87

Edureka

JULY 4, 2024

It is a cloud-based service by Amazon Web Services (AWS) that simplifies processing large, distributed datasets using popular open-source frameworks, including Apache Hadoop and Spark. Let’s see what is AWS EMR, its features, benefits, and especially how it helps you unlock the power of your big data. What is EMR in AWS?

AWS 52

AWS Amazon Web Services Hadoop Big Data 52

phData: Data Engineering

AUGUST 4, 2023

Data storage is a vital aspect of any Snowflake Data Cloud database. Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. Amazon S3 for AWS, Azure Blob Storage for Azure, or Google Cloud Storage for GCP) to store the actual data files in micro-partitions.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52